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Deep Learning Jobs in Oregon (NOW HIRING)

Nvidia

OR · On-site

$122K - $161K/yr

NVIDIA GPUs are at the center of the deep learning revolution and continue to enable breakthroughs in generative AI, large language models, recommendation systems, speech recognition, image ...

Nvidia

OR

$129K - $175K/yr

We are building innovative server systems for GPU accelerated applications, such as Deep Learning. Data Center SW team architects and develops the end to end software and firmware stack for these ...

Vectara

Machine Learning (ML) Engineer

OR · On-site +1

Familiarity with the technical details of deep learning concepts, such as Transformers, Retrieval-Augmented Generation (RAG), mixture of experts (MoE). * Hands-on experience in training ML systems ...

Nvidia

Senior Software Engineer, CUTLASS Kernels

Hillsboro, OR · On-site

$133K - $175K/yr

Write Tensor Core-based deep learning kernels such as grouped-GEMM, attention, and convolution using CUTLASS CUDA C++ and Python DSL for Blackwell, Rubin, and future architectures. * Optimize kernels ...

Cellanome

Machine Learning Engineer

Foster, OR · On-site +1

$160K - $215K/yr

Advanced familiarity with modern computer vision and deep learning architectures, including Vision Transformers (ViTs), CNNs, object detection, segmentation, or multimodal AI models. * Experience ...

Instacart

OR · On-site

$91K - $124K/yr

Deep understanding of CTR/conversion prediction modeling, including familiarity with architectures such as Deep & Wide, DeepFM, DCN, and multi-task learning formulations. * Strong foundation in ...

Webflow

Senior Staff Machine Learning Scientist, Assets

OR · On-site +1

$91K - $124K/yr

Deep theoretical and practical expertise in computer vision, with strong foundations in areas such as representation learning, visual recognition, image or video generation, multimodal learning, and ...

Anno.ai

OR

$104K - $143K/yr

Strong proficiency in Python and familiarity with at least one deep learning framework (e.g., PyTorch, TensorFlow) * Hands-on experience with MLOps frameworks and workflow tooling (e.g., MLflow ...

Intel

Senior AI Algorithm Engineer in oneDNN

Hillsboro, OR · On-site +1

$195K - $275K/yr

Collaborate with top experts in deep learning, HPC, compilers, and systems optimization. * Contribute to technology adopted by millions of developers worldwide. * Engage with a highly visible ...

Nvidia

OR · On-site

$122K - $161K/yr

Collaborating closely with other engineers at NVIDIA across deep learning frameworks, libraries, kernels, and GPU arch teams * Contributing to open source communities like FlashInfer, vLLM, and ...

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Deep Learning information

See Oregon salary details

$11.6K

$88.7K

$148K

How much do deep learning jobs pay per year?

As of Jun 20, 2026, the average yearly pay for deep learning in Oregon is $88,691.00, according to ZipRecruiter salary data. Most workers in this role earn between $76,100.00 and $147,000.00 per year, depending on experience, location, and employer.

What jobs use deep learning?

Jobs that use deep learning include roles such as deep learning engineer, machine learning engineer, data scientist, AI researcher, and computer vision engineer. These positions typically require skills in programming languages like Python, experience with frameworks such as TensorFlow or PyTorch, and a strong understanding of neural networks and data analysis.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as a senior machine learning engineer, AI research director, or chief AI officer, often requiring advanced skills in deep learning, data science, and programming. These roles usually involve leadership, strategic planning, and expertise in tools like TensorFlow or PyTorch, with compensation reflecting experience, impact, and industry demand.

What are the typical daily responsibilities of a Deep Learning professional?

As a Deep Learning professional, your day-to-day tasks often include designing and training neural network models, preprocessing and analyzing large datasets, and evaluating model performance using various metrics. You may also participate in research activities, document your results, and collaborate with data scientists, engineers, or product teams to deploy machine learning solutions. Regular meetings for project updates, code reviews, and brainstorming sessions are common, as is staying updated on advances in the field. This dynamic environment offers both individual and team-based work, providing continuous learning and the opportunity to solve complex, real-world problems.

What is a Deep Learning job?

A Deep Learning job involves designing, developing, and optimizing neural networks to solve complex problems such as image recognition, natural language processing, and autonomous systems. Professionals in this field work with large datasets, neural network architectures, and frameworks like TensorFlow or PyTorch. They collaborate with data scientists, engineers, and researchers to improve model accuracy and efficiency. Deep Learning roles typically require strong programming skills in Python, knowledge of machine learning algorithms, and experience with GPU acceleration.

What engineers make $500,000?

Senior deep learning engineers with extensive experience, advanced skills in neural networks, and expertise in frameworks like TensorFlow or PyTorch can earn $500,000 or more annually, especially in high-cost-of-living areas or within top tech companies. Achieving this level often requires a strong educational background, specialized certifications, and a track record of impactful projects.

What job makes $10,000 a month without a degree?

In the field of deep learning, roles such as freelance AI consultant or specialized machine learning engineer can potentially earn $10,000 or more per month through project-based work or high-demand expertise. Success typically requires strong skills in programming, neural networks, and experience with tools like TensorFlow or PyTorch, often gained through self-study or online courses rather than formal degrees.

What are the key skills and qualifications needed to thrive in the Deep Learning position, and why are they important?

To thrive in Deep Learning, you need a solid understanding of machine learning theory, neural networks, mathematics (especially linear algebra and probability), and programming skills, typically backed by a degree in computer science, mathematics, or a related field. Familiarity with frameworks such as TensorFlow or PyTorch, experience with data preprocessing, and optionally industry-recognized certifications are advantageous. Strong analytical thinking, problem-solving skills, and the ability to communicate findings clearly are crucial soft skills. These abilities enable the design, implementation, and optimization of effective deep learning solutions in real-world applications.

What are the most commonly searched types of Deep Learning jobs in Oregon? The most popular types of Deep Learning jobs in Oregon are:
What are popular job titles related to Deep Learning jobs in Oregon? For Deep Learning jobs in Oregon, the most frequently searched job titles are:
What job categories do people searching Deep Learning jobs in Oregon look for? The top searched job categories for Deep Learning jobs in Oregon are:
What cities in Oregon are hiring for Deep Learning jobs? Cities in Oregon with the most Deep Learning job openings:
Deep Learning jobs near you
Infographic showing various Deep Learning job openings in Oregon as of June 2026, with employment types broken down into 57% Full Time, 39% Part Time, 1% Temporary, 2% Contract, and 1% Nights. Highlights an 70% Physical, 4% Hybrid, and 26% Remote job distribution, with an average salary of $88,691 per year, or $42.6 per hour.
Senior AI Algorithm Engineer in oneDNN

Senior AI Algorithm Engineer in oneDNN

Intel Corporation

Hillsboro, OR • On-site

$195K - $275K/yr

Full-time

Medical, Life, Retirement, PTO

Posted 18 days ago

Intel rating

8.8

Company rating: 8.8 out of 10

Based on 143 frontline employees who took The Breakroom Quiz

8th of 139 rated electronics manufacturers

Job description

Job Details:
Job Description:
The Software and AI (SAI) organization is seeking a highly skilled Software Development Engineer to contribute to the development and optimization of oneDNN, a complex, cross-platform, open-source performance library for deep learning applications (https://github.com/uxlfoundation/oneDNN).
oneDNN is a critical and highly visible component of Intel's AI strategy, powering industry-leading frameworks such as OpenVINO, TensorFlow, PyTorch, ONNX Runtime, and many others.
This is a unique opportunity to work at the intersection of AI algorithms, low-level performance engineering, and cutting-edge Intel hardware, enabling state-of-the-art neural network performance across CPUs, integrated graphics, and discrete GPUs.
Responsibilities
  • Design, develop, and optimize new features and algorithms for oneDNN targeting Intel processors, Intel Processor Graphics, and Intel discrete GPUs.
  • Perform performance analysis and optimization to achieve best-in-class deep-learning inference and training throughput on current and next-generation Intel platforms.
  • Develop hardware-specific parallel algorithms, including multithreading, vectorization, and memory-layout optimizations.
  • Contribute to assembly-level programming and low-level performance tuning for Intel microarchitectures.
  • Collaborate with cross-functional teams across software engineering, architecture, and AI performance to ensure strong integration with Intel's broader AI ecosystem.
  • Engage with the open-source community, participate in code reviews, and maintain high-quality coding and documentation standards.

Why Join Us
  • Work on a global, high-impact open-source AI project used across leading deep-learning frameworks.
  • Influence AI performance across Intel's full hardware roadmap, from CPUs to GPUs.
  • Collaborate with top experts in deep learning, HPC, compilers, and systems optimization.
  • Contribute to technology adopted by millions of developers worldwide.
  • Engage with a highly visible open-source product and the latest Intel hardware generations.
  • Enjoy a safe, flexible, and supportive work environment-remote or onsite-focused on employee well-being.
  • Benefit from flexible working hours.
  • Access a comprehensive benefits package: stock program, annual and quarterly bonuses, pension plan, medical and life insurance for you and your family, peer-to-peer recognition, meal card, Multisport card, holiday card, employee discounts, events, and more.

Qualifications:
Minimum qualifications are required to be initially considered for this position. Preferred qualifications are in addition to the minimum requirements and are considered a plus factor in identifying top candidates.
Minimum Qualifications:
  • BSc, MSc or PhD in Mathematics, Physics, Computer Science or in a related field
  • 5+ years of experience in the following areas:
    • C++
    • Algorithms and data structures, or Mathematical background
    • Low-level Performance Optimizations, preferably on GPUs

Preferred Qualifications:
  • 3 years+ High-performance computing (HPC) applications development
  • 1 year+ Machine learning and deep learning algorithms
  • 1 year+ Agile software development environment
  • 1 year+ Intel development tools.
  • Software libraries design and architecture
  • Background in Linear algebra solvers, matrix-vector operations, or Fast Fourier Transforms
  • Software development on Linux
  • GPU optimizations (OpenCL, CUDA, SYCL/DPC++, C for Metal or similar)
  • Parallel programming (OpenMP, TBB, or MPI)

Job Type:
Experienced Hire
Shift:
Shift 1 (United States of America)
Primary Location:
US, Oregon, Hillsboro
Additional Locations:
US, California, Santa Clara
Business group:
Silicon and Platform Engineering Group (SPE): Deliver breakthrough silicon and platform solutions that deliver industry-leading products today while also defining the next generation of computing experiences.
Posting Statement:
All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance.
Position of Trust
N/A
Benefits
We offer a total compensation package that ranks among the best in the industry. It consists of competitive pay, stock bonuses, and benefit programs which include health, retirement, and vacation. Find out more about the benefits of working at Intel.
Annual Salary Range for jobs which could be performed in the US: $195,200.00-275,580.00 USD
The range displayed on this job posting reflects the minimum and maximum target compensation for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific compensation range for your preferred location during the hiring process.
Work Model for this Role
This role will be eligible for our hybrid work model which allows employees to split their time between working on-site at their assigned Intel site and off-site. * Job posting details (such as work model, location or time type) are subject to change.
ADDITIONAL INFORMATION: Intel is committed to Responsible Business Alliance (RBA) compliance and ethical hiring practices. We do not charge any fees during our hiring process. Candidates should never be required to pay recruitment fees, medical examination fees, or any other charges as a condition of employment. If you are asked to pay any fees during our hiring process, please report this immediately to your recruiter.

What Intel employees say

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About Intel

Sourced by ZipRecruiter

Intel strives to make every facet of semiconductor manufacturing state-of-the-art -- from semiconductor process development and manufacturing, through yield improvement to packaging, final test and optimization, and world class Supply Chain and facilities support. Employees in the Technology and Manufacturing Group are part of a worldwide network of design, development, manufacturing, and assembly/test facilities, all focused on utilizing the power of Moore's Law to bring smart, connected devices to every person on Earth

Industry

Manufacturing

Company size

10,000+ Employees

Headquarters location

Santa Clara, CA, US

Year founded

1968

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